@inproceedings{7e368928172d46bcb08b692ac5ae50fa,
title = "Relating movement primitive length to accuracy in imitation learning",
abstract = "We present an analysis of the effect of movement primitive length on accuracy using a visual externally observed imitation learning algorithm. Utilizing the noise reduction techniques in the chosen algorithm, we show that, though the largest impact on output path accuracy is the quality of the input data, the inaccuracy of the output increases as the movement primitive length increases as shown by the smoothing spline's sum of squares goodness of fit and the number of data points rejected by the low pass filter.",
author = "Sterling Holcomb and Rocio Alba-Flores",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; IEEE SoutheastCon 2017 ; Conference date: 30-03-2017 Through 02-04-2017",
year = "2017",
month = may,
day = "10",
doi = "10.1109/SECON.2017.7925335",
language = "English",
series = "Conference Proceedings - IEEE SOUTHEASTCON",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE SoutheastCon 2017",
address = "United States",
}